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/*! \file
    \brief Tests for device-wide GEMM interface
*/

#include <iostream>

#include "../../common/cutlass_unit_test.h"
#include "cutlass/cutlass.h"
#include "cutlass/gemm/device/gemm.h"
#include "multistage_testbed.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/reference/host/gemm.h"
#include "cutlass/util/reference/host/tensor_compare.h"
#include "cutlass/util/reference/host/tensor_copy.h"
#include "cutlass/util/reference/host/tensor_fill.h"
#include "cutlass/util/tensor_view_io.h"

#if (CUTLASS_ARCH_MMA_SM80_SUPPORTED)

////////////////////////////////////////////////////////////////////////////////

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 128x256x128_64x64x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<128, 256, 128>,
                    cutlass::gemm::GemmShape<64, 64, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 256x128x128_64x64x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<256, 128, 128>,
                    cutlass::gemm::GemmShape<64, 64, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 128x128x128_64x64x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<128, 128, 128>,
                    cutlass::gemm::GemmShape<64, 64, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 256x64x128_64x64x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<256, 64, 128>,
                    cutlass::gemm::GemmShape<64, 64, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 64x256x128_64x64x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<64, 256, 128>,
                    cutlass::gemm::GemmShape<64, 64, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 64x128x128_32x64x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<64, 128, 128>,
                    cutlass::gemm::GemmShape<32, 64, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 128x64x128_64x32x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<128, 64, 128>,
                    cutlass::gemm::GemmShape<64, 32, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            64 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 64x64x128_32x32x128, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<64, 64, 128>,
                    cutlass::gemm::GemmShape<32, 32, 128>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            64 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    4>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 128x256x64_64x64x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<128, 256, 64>,
                    cutlass::gemm::GemmShape<64, 64, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 256x128x64_64x64x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<256, 128, 64>,
                    cutlass::gemm::GemmShape<64, 64, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 128x128x64_64x64x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<128, 128, 64>,
                    cutlass::gemm::GemmShape<64, 64, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 256x64x64_64x64x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<256, 64, 64>,
                    cutlass::gemm::GemmShape<64, 64, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 64x256x64_64x64x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<64, 256, 64>,
                    cutlass::gemm::GemmShape<64, 64, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    3>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 64x128x64_32x64x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<64, 128, 64>,
                    cutlass::gemm::GemmShape<32, 64, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            128 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    4>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(
        SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 128x64x64_64x32x64, {
            using ElementOutput = int8_t;
            using ElementAccumulator = int32_t;
            using ElementCompute = float;

            using Gemm = cutlass::gemm::device::Gemm<
                    int8_t, cutlass::layout::RowMajor, int8_t,
                    cutlass::layout::ColumnMajor, ElementOutput,
                    cutlass::layout::ColumnMajor, ElementAccumulator,
                    cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
                    cutlass::gemm::GemmShape<128, 64, 64>,
                    cutlass::gemm::GemmShape<64, 32, 64>,
                    cutlass::gemm::GemmShape<16, 8, 32>,
                    cutlass::epilogue::thread::FastLinearCombinationClamp<
                            ElementOutput,
                            64 / cutlass::sizeof_bits<ElementOutput>::value>,
                    cutlass::gemm::threadblock::
                            GemmIdentityThreadblockSwizzle<>,
                    4>;

            test::gemm::device::MultistageTestbed<Gemm> testbed;

            EXPECT_TRUE(testbed.run_all());
        })

CUTLASS_TEST_L0(SM80_Device_Gemm_s8t_s8n_s8n_tensor_op_s32, 64x64x64_32x32x64, {
    using ElementOutput = int8_t;
    using ElementAccumulator = int32_t;
    using ElementCompute = float;

    using Gemm = cutlass::gemm::device::Gemm<
            int8_t, cutlass::layout::RowMajor, int8_t,
            cutlass::layout::ColumnMajor, ElementOutput,
            cutlass::layout::ColumnMajor, ElementAccumulator,
            cutlass::arch::OpClassTensorOp, cutlass::arch::Sm80,
            cutlass::gemm::GemmShape<64, 64, 64>,
            cutlass::gemm::GemmShape<32, 32, 64>,
            cutlass::gemm::GemmShape<16, 8, 32>,
            cutlass::epilogue::thread::FastLinearCombinationClamp<
                    ElementOutput,
                    64 / cutlass::sizeof_bits<ElementOutput>::value>,
            cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 6>;

    test::gemm::device::MultistageTestbed<Gemm> testbed;

    EXPECT_TRUE(testbed.run_all());
})

////////////////////////////////////////////////////////////////////////////////
#endif  // if (CUTLASS_ARCH_MMA_SM80_SUPPORTED)
